Automated data capture from health record systems

The OneSource Connect was developed by Quantum Leap Healthcare Collaborative (QLHC) as a strategic initiative to streamline the capture of clinical and research data at the point-of-care from Electronic Health Records (EHR) systems for secondary uses, such as clinical trials and registries.

OneSource Connect

General Information

OneSource is the only integrated EHR/electronic data capture (EDC) solution that captures regulatory-grade data from Epic and Cerner EHRs with both Clinical Research Coordinator (CRC) and patient-mediated data access. The platform includes best-in-class solutions for electronic data capture (EDC), electronic patient reported outcomes (ePRO), biospecimen, trial randomization, safety reporting and site payment systems that are fully integrated.

Data capture, cleaning and validation represent a considerable portion of the costs of conducting clinical trials. Manual data abstraction from electronic health records to trial-specific electronic case report forms is time consuming and error-prone; the associated costs and staffing requirements also represent a significant barrier for clinical sites to participate in clinical trial enrollment. Recent developments, including the emergence of modern clinical trial designs that require rapid access to study data and the urgency of public health crises such as the COVID-19 pandemic have underscored the need to re-engineer current data capture and management approaches and tools for clinical trials.

The OneSource Connect platform is currently deployed at over 25 sites participating in the multicenter, phase 2 I-SPY 2 TRIAL and I-SPY-COVID-19 adaptive platform trial. Data auto-captured from these sites has led to data entry efficiencies and downstream cost savings in cleaning and source data verification (SDV). OneSource has the additional benefits of low implementation times and reusability across sites compared to other EHR integration approaches.

For more information on how OneSource Connect can be leveraged for your clinical trial or research network. Please reach out to Adam Asare, Chief Data Officer, at

OneSource AI

Data Access and Analysis Platform

OneSource AI provides access to secure analytic workspaces and data for partners to explore and develop models and AI algorithms leveraging data from the I-SPY family of trials.  Datasets include clinical, imaging, biomarker and sequencing data.

Full end-to-end platform services for that study to happen inside the environment.  OneSource AI’s platform houses over 7,000 H & E image files used by pathologists to collaboratively review whole slide images (WSI) and share their findings in real-time. Ee-identified images are available for wider use to researchers across healthcare, academia, and industry to carry out novel research in a secure and audited environment. Leveraging the benefits of cloud computing, this enables researchers to have real-time access to a secure and scalable platform that can help them to manage and analyze large amounts of data more efficiently.

OneSource AI plays a pivotal role in enabling novel AI/ML research to identify patterns and trends in the data that may not be immediately apparent. The platform supports researchers in making more accurate predictions about the efficacy of different treatments and therapies, which can ultimately lead to better outcomes for patients.

OneSource AI  has the potential to revolutionize medical research by providing researchers with access to a wealth of data and advanced analytics tools that can help them to identify new treatments and therapies more effectively and collaboratively than ever before.

For more information on how OneSource AI can help with analytical modeling and AI algorithm development leveraging data from the I-SPY family of trials p lease reach out to Adam Asare, Chief Data Officer, at

OneSource News Coverage

A collection of announcements and press releases related to OneSource.

More than 5 years after the passage of the 21st Century Cures Act of 2016, the terms “real-world data” (RWD) and “real-world evidence” (RWE) are being used inconsistently and sometimes interchangeably. This imprecision has complicated efforts to assess the impact of such data and evidence and hindered attempts to track their use. 
Quantum Leap Healthcare Collaborative™ (QLHC) announces the award of OneSource, Quantum Leap Healthcare Collaborative's groundbreaking clinical trial data management solution developed in collaboration with OpenClinica as the grand prize winner at the 2022 Bio-IT World Innovative Practices award in the Clinical & Health-IT category. By integrating clinical trial data systems directly with existing electronic health records, OneSource achieves new levels of efficiency and quality control for clinical trial data management.
 Bio-ITWorld today announced the 2022 Innovative Practices Awards winners. Four grand prize awards were granted to AstraZeneca, Guardant Health with IQVIA, Merck KGaA, Darmstadt, Germany, with Genedata, and Quantum Leap Healthcare Collaborative / University of California San Francisco with OpenClinica. The awards ceremony will be held during the plenary program on Tuesday, May 3, at the 2022 Bio-IT World Conference & Expo in Boston.
UC San Francisco (UCSF), in collaboration with the Quantum Leap Healthcare Collaborative (QLHC) and the U.S. Food and Drug Administration (FDA), has developed the OneSource system to seamlessly integrate clinical care and research data. OneSource is an electronic data capture (EDC) system which was developed with the goal of radically streamlining the collection and distribution of patient health data for clinical trials. It is based on best practices and open-source data Electronic Health Record (EHR) integration standards to launch seamlessly within widely used EHR platforms.
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